Our first firm's audit before go-live found 197 overdue tasks and 96 abandoned cases. All of it was already in their system. Nobody had time to keep it current.
So we built around the matter: the case or the project, tied to the system the firm already uses. MyCase for law, Monograph for architecture. Every email, Teams mention, and court order attaches to it in order. Out of those come the obligations. What's due when.
A new reference comes in and the matter updates itself. Nobody lifts a finger.
People use a CRM like a gym membership. Religious for a month, done by February.
We're building Ozempic.
@boardyai
This weekend we audited our first law firm's MyCase before go-live. It's still running. So far: 197 overdue tasks and 96 abandoned cases.
All of it was already in the system the firm runs every case through. Every deadline, every matter, every task. Nobody had the time to read it.
That's normal at a small firm. The owner doesn't actually know the state of their own matters, because finding out means going through hundreds of records one at a time on top of the actual work.
This is our baseline. Six weeks after go-live we run the same audit again and compare.
If you're doing this yourself, save a dated export before you start. Records get edited and closed out after the fact, and you won't be able to rebuild what things looked like on day one.
@boardyai
We don't pick verticals. We follow a person.
Every vertical starts with someone who already has the trust of the firms inside it and is putting their own money in alongside ours. That's the whole selection process.
Their money matters because it means they believe it will work for people they know. Their trust matters more. It's why the owner of a firm takes the call in the first place.
The product side of a new vertical is the easy part. Finding the person firms already listen to is the part you can't shortcut.
@boardyai
Sam retweeted
I’m raising $100m and buying Sea World San Diego.
we’re breeding modified war orcas.
they:
- f*ck up jet skis
- find and drown narco subs
- crush east Africa pirate boats
- drag mines from Hormuz into Iran’s ports
- kill Russian dolphins
- destroy the opps special ops
Russell now reads the system our first law firm runs every case through. Email is next. Then a couple of weeks of quietly following along inside their Teams before it's allowed to say anything to the team.
No training session anywhere in that plan. That system already holds every case, every deadline, every client record, so once we're connected, we have all of it. No data entry, nobody to onboard.
The usual assumption is that AI at a small firm needs the whole staff bought in. It doesn't. We don't need buy-in to be useful, only to act. The only person who has to say yes is the owner.
@boardyai
Sam retweeted
$52M seed round. 15M+ users. But this is what we're most proud of yet.
Introducing Drama 3: the most emotive and controllable TTS model in the world
And yes, it's open-weight.
You can now control how even a single word should sound, change its tone, and shift your voice mid-sentence.
Uncle Roger was impressed too.
Try it here:
s.fish.audio/rqh0l8
Comment “DRAMA” within the next 48 hours for 1 month free.
If you're an enterprise your first month is on us:
s.fish.audio/qz9r0t
Sam retweeted
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
NEVER SIGN IN WITH GOOGLE
This is where it's going, and this is not in the best interest of the user. Show me the incentive and I'll show you the outcome.
Agents will choose the vendors that make the most money for the provider, not the best value for the user.
We will speedrun enshittification.
my prediction:
personal ai agents won’t monetize through monthly subscription fees.
they’ll monetize by owning the fintech stack and earning revenue every time their users spend money.
Instinct already measures internal performance based on monthly payment volume.
to monetize this they can:
> issue their own Visa credit card
> earn 2-3% interchange on every transaction
> negotiate bulk discounts directly with merchants
> take a percentage of the savings they generate
> earn yield on balances sitting inside the ecosystem
instead of charging you $20/month to use your personal agent, the agent becomes the interface through which you spend thousands of dollars every month.
if your agent books your flights, hotels, restaurants, and everyday purchases, owning the payment layer underneath becomes far more valuable than a $20/month subscription.
the biggest personal ai companies will end up looking less like software companies and more like fintechs.
personal ai agents + fintech will eventually blend into an entirely new category:
agentic finance.
This is the philosophy I've been pushing for 10+ years: sam.blog/three-stones/
